Skip to Main Content
The purpose of this paper is to investigate the performance of a typical Doppler processor when the received clutter data is correlated. As the classical theories of statistical inference do not provide a tractable procedure for consideration of correlated non-gaussian random variables, it is necessary to resort to Monte Carlo simulation. A technique based on the theory of Best Linear Prediction followed by an appropriate nonlinear transformation enables consideration of correlated clutter with any arbitrary distribution. It is observed that the processor discussed in the paper exhibits distribution free characteristics in the case of correlated clutter.